MocapNET
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (by FORTH-ModelBasedTracker)
freemocap-uwupose
experiments in real-time body tracking by multi-camera triangulation and neural network (by alexiscatnip)
MocapNET | freemocap-uwupose | |
---|---|---|
2 | 1 | |
804 | 1 | |
1.0% | - | |
6.9 | 10.0 | |
3 months ago | over 1 year ago | |
C++ | Python | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MocapNET
Posts with mentions or reviews of MocapNET.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-23.
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Achieving cheap mediocre FBT using 2 cameras, machine learning, and triangulation
Also google says that Mocapnet has some sort of blender workflow, which would likely be a valid starting point if you ever stop with the 2d methods.
- Simple method to pose a character using a reference image and AI pose estimation?
freemocap-uwupose
Posts with mentions or reviews of freemocap-uwupose.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-23.
-
Achieving cheap mediocre FBT using 2 cameras, machine learning, and triangulation
you can try my repo on github https://github.com/alexiscatnip/freemocap-uwupose
What are some alternatives?
When comparing MocapNET and freemocap-uwupose you can also consider the following projects:
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
tensorflow - An Open Source Machine Learning Framework for Everyone
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
gestures2anything - Use your webcam to identify gestures and trigger any script
PoseEstimationForMobile - :dancer: Real-time single person pose estimation for Android and iOS.
3DObjectTracking - Algorithms and Publications on 3D Object Tracking
webcamoid - Webcamoid is a full featured and multiplatform webcam suite.
Tuna_ab